Machine learning-based multi-omics risk prediction of cholangiocarcinoma | Office Hours 5.8.26

In this video, our team is joined by Felix van Haag. Felix will present findings from his recent work on machine learning–based multi omics risk prediction of cholangiocarcinoma in the general population. His talk will highlight the development and external validation of a population level risk score using routinely collected clinical data from large biobanks, including the All of Us Research Program, to support earlier identification of individuals at risk for this rare but highly lethal cancer.

Recorded May 8, 2026